Bachelor of Science in Data Science (Biochemistry)
About This Program
In the Bachelor of Science in Data Science Biochemistry concentration, students apply data science to molecular and biochemical data, learning to process complex datasets such as protein structures, metabolic pathways, and laboratory results. This training supports careers in pharmaceutical research, biotechnology, biomedical data analysis, and related fields. Beyond the UTA Core Curriculum requirements, the degree requires a sequence of courses in Mathematics, Data Science, and Biochemistry. In addition, students must complete a year-long Capstone project in collaboration with a supervisor within the College of Science or an Industry Partner.
Competencies
- Upon completion, students will demonstrate knowledge of fundamentals of mathematics and statistics, in applications to data science.
- Upon completion, students will demonstrate knowledge of computer programming through receiving a certificate, and therefore passing, a programming course.
- Upon completion, students will demonstrate the ability to effectively work in teams to complete data science projects.
Curriculum
| Foundations | ||
| General Core Requirements | 42 | |
| Students are required to complete specific courses in certain core areas. | ||
| For Communication select: | ||
| RHETORIC AND COMPOSITION I | ||
An additional communication area course | ||
| For Life and Physical Science select: | ||
| BIOLOGY I FOR SCIENCE MAJORS: CELL AND MOLECULAR BIOLOGY | ||
| BIOLOGY II FOR SCIENCE MAJORS: ECOLOGY AND EVOLUTION | ||
| For Mathematics select: | ||
| CALCULUS I | ||
| CALCULUS II | ||
| Data Science Foundations: | ||
| Additional hours required in core. | 4 | |
| UNIV 1131 | STUDENT SUCCESS | 1 |
| or UNIV-SC 1101 | CAREER PREPARATION AND STUDENT SUCCESS | |
| Select any course numbered 3400 or higher. | 4 | |
| Data Science Specialization | ||
| DATA 3311 | MATHEMATICS FOR DATA SCIENCE | 3 |
| DATA 3401 | PYTHON FOR DATA SCIENCE 1 | 4 |
| DATA 3402 | PYTHON FOR DATA SCIENCE 2 | 4 |
| DATA 3421 | DATA MINING, MANAGEMENT, AND CURATION | 4 |
| DATA 3441 | STATISTICAL METHODS FOR DATA SCIENCE 1 | 4 |
| DATA 3442 | STATISTICAL METHODS FOR DATA SCIENCE 2 | 4 |
| DATA 3461 | MACHINE LEARNING | 4 |
| DATA 4380 | DATA PROBLEMS | 3 |
| DATA 4381 | DATA CAPSTONE PROJECT 1 | 3 |
| DATA 4382 | DATA CAPSTONE PROJECT 2 | 3 |
| Biochemistry Specialization | ||
| CHEM 1441 | GENERAL CHEMISTRY I | 4 |
| CHEM 1442 | GENERAL CHEMISTRY II | 4 |
| CHEM 2321 | ORGANIC CHEMISTRY I | 3 |
| CHEM 2181 | ORGANIC CHEMISTRY I LABORATORY | 1 |
| CHEM 2322 | ORGANIC CHEMISTRY II | 3 |
| CHEM 2182 | ORGANIC CHEMISTRY II LABORATORY | 1 |
| CHEM 2335 | QUANTITATIVE CHEMISTRY | 3 |
| CHEM 2285 | QUANTITATIVE CHEMISTRY LABORATORY | 2 |
| CHEM 3317 | INORGANIC CHEMISTRY | 3 |
| or CHEM 4318 | INORGANIC CHEMISTRY | |
| CHEM 4311 | BIOCHEMISTRY I | 3 |
| Select 2 CHEM courses numbered 3300 or higher or DATA courses numbered 2300 or higher. | 6 | |
| Total Hours | 120 | |
Suggested COURSE SEQUENCE
Details of a personal course sequence should be made with the guidance of the Data Science undergraduate advisor, particularly since many courses are not offered every semester. For all entering freshmen, it is important to begin the mathematics sequence, starting with MATH 1426, Calculus I, in the first semester.
| First Year | |||
|---|---|---|---|
| Fall Semester | Hours | Spring Semester | Hours |
| Component Area Course (Suggested DATA 1301) | 3 | CHEM 1442 | 4 |
| UNIV 1131 or UNIV-SC 1101 | 1 | MATH 2425 | 4 |
| CHEM 1441 | 4 | DATA 3402 | 4 |
| MATH 1426 | 4 | DATA 3311 | 3 |
| DATA 3401 | 4 | ||
| 16 | 15 | ||
| Second Year | |||
| Fall Semester | Hours | Spring Semester | Hours |
| CHEM 2321 | 3 | CHEM 2322 | 3 |
| CHEM 2181 | 1 | CHEM 2182 | 1 |
| DATA 3441 | 4 | DATA 3421 | 4 |
| Elective (34xx+) | 4 | DATA 3442 | 4 |
| ENGL 1301 | 3 | Approved Communication Core | 3 |
| 15 | 15 | ||
| Third Year | |||
| Fall Semester | Hours | Spring Semester | Hours |
| CHEM 2335 | 3 | DATA 4380 | 3 |
| CHEM 2285 | 2 | CHEM 4311 | 3 |
| DATA 3461 | 4 | CHEM 3317 or 4318 | 3 |
| HIST 1301 | 3 | Approved Social and Behavioral Core | 3 |
| Approved Creative Arts Core | 3 | POLS 2312 | 3 |
| 15 | 15 | ||
| Fourth Year | |||
| Fall Semester | Hours | Spring Semester | Hours |
| DATA 4381 | 3 | DATA 4382 | 3 |
| BIOL 1441 | 4 | BIOL 1442 | 4 |
| HIST 1302 or 1332 | 3 | Elective (CHEM 33xx+ or DATA 23xx+) | 3 |
| Approved Language, Philosophy, Culture Core | 3 | Elective (CHEM 33xx+ or DATA 23xx+) | 3 |
| POLS 2311 | 3 | ||
| 16 | 13 | ||
| Total Hours: 120 | |||
Advising Resources
Undergraduate and Graduate Advising
Location:
Life Science Building Room 206A and 206B
Email:
data.advising@uta.edu
Phone:
817-272-1512
Web:
Speak to an advisor in the Division of Data Science or schedule an appointment.